Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a fine-grained ...

Our approach leverages knowledge distillation with Vision Transformer (ViT) as the image encoder to capture complex visual features, the model benefits from knowledge distillation, transferring ...

Intorduction In this project, we developed an image captioning model using a Vision Transformer (ViT) as the encoder and a Transformer-based decoder. The Vision Transformer encodes the images, and the ...

Learn how NVIDIA's Llama Nemotron Nano 8B delivers cutting-edge AI performance in document processing, OCR, and automation ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Scientists in China have developed the world’s first 3D model of early mouse embryos, revealing how life forms in its initial stages at single-cell resolution. The team said this was a first ...

In another advancement in the field of brain-computer interfaces (BCI), a new implant-based system has enabled a paralyzed person to not only talk, but also 'sing' simple melodies through a ...

Strategic efforts to bypass or consolidate this structure — to shortcut curiosity in favor of targeted returns — risk breaking the feedback loops that have made the U.S. innovation model so resilient ...